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Short Trade on PYTH

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Short Trade on PYTH 21 Sep 2025 at 14:19:00

Take profit at 0.1644 (0.9 %) and Stop Loss at 0.1667 (0.48 %)

Short Trade on PYTH

The 21 Sep 2025 at 14:19:00

With 10345.5264 PYTH at 0.1659$ per unit.

Position size of 1716.3228 $

Take profit at 0.1644 (0.9 %) and Stop Loss at 0.1667 (0.48 %)

That's a 1.88 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -60
ML Pullback Score: 5.45
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.75
Prediction 2 Probability
1 0.41
Prediction 3 Probability
1 0.6
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.656989

15m : -0.061304

1H : 0.105311

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.0005155207304
Details
  1. score: 1.01
  2. 1H
  3. ema9 : 0.165327
  4. ema21 : 0.166328
  5. ema50 : 0.167541
  6. ema100 : 0.167284
  7. price_ema9_diff : 0.00346143
  8. ema9_ema21_diff : -0.00601389
  9. ema21_ema50_diff : -0.00724055
  10. price_ema100_diff : -0.00827353
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.159635
  14. ema_slope_21 : -0.131453
  15. ema_slope_50 : -0.0737757
  16. ema_slope_100 : -0.0290113
  17. rsi : 0.461536
  18. adx : 0.153071
  19. kc_percentage : 0.450808
  20. kc_width_percentage : 0.0430058
  21. volume_ema_diff : -0.330082
  22. volume_ema1 : 231792.12792739
  23. volume_ema2 : 346000.79948091
  24. chop : 51.2693
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.165005
  28. ema21 : 0.164901
  29. ema50 : 0.165581
  30. ema100 : 0.166823
  31. price_ema9_diff : 0.00542382
  32. ema9_ema21_diff : 0.000629455
  33. ema21_ema50_diff : -0.00411027
  34. price_ema100_diff : -0.00553793
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.00143349
  38. ema_slope_21 : -0.0170929
  39. ema_slope_50 : -0.0289673
  40. ema_slope_100 : -0.0298539
  41. rsi : 0.572548
  42. adx : 0.185668
  43. kc_percentage : 0.770477
  44. kc_width_percentage : 0.022483
  45. volume_ema_diff : 0.134795
  46. volume_ema1 : 78175.535692985
  47. volume_ema2 : 68889.530209681
  48. chop : 47.5691
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 0.165399
  52. ema21 : 0.164822
  53. ema50 : 0.164659
  54. ema100 : 0.164682
  55. price_ema9_diff : 0.00302332
  56. ema9_ema21_diff : 0.00350222
  57. ema21_ema50_diff : 0.000992777
  58. price_ema100_diff : 0.00739228
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0838409
  62. ema_slope_21 : 0.038556
  63. ema_slope_50 : 0.0106417
  64. ema_slope_100 : 0.00344628
  65. rsi : 0.653957
  66. adx : 0.226678
  67. kc_percentage : 1.01364
  68. kc_width_percentage : 0.0123689
  69. volume_ema_diff : 0.625062
  70. volume_ema1 : 40601.250959553
  71. volume_ema2 : 24984.427248139
  72. chop : 28.4833
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    115501
  77. 5m_price_ema100_diff: 
    0.000505262
  78. 5m_price: 
    115560
  79. 5m_correlation_with_coin: 
    0.656989
  80. btc_indicators
  81. 15m_ema100: 
    115584
  82. 15m_price_ema100_diff: 
    -0.000213889
  83. 15m_price: 
    115560
  84. 15m_correlation_with_coin: 
    -0.061304
  85. btc_indicators
  86. 1H_ema100: 
    115904
  87. 1H_price_ema100_diff: 
    -0.0029746
  88. 1H_price: 
    115560
  89. 1H_correlation_with_coin: 
    0.105311
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
21 Sep 2025
14:19:00		 21 Sep 2025
14:50:00		 31 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1659 0.1667 0.1644 1.88 0.0482
Details
Click the "Sign Up" button in the top right corner and follow the registration process.

Pour calculer le Risk-Reward Ratio (RRR) sur un trade short, on utilise la formule :

RRR = Distance jusqu'au Take Profit ÷ Distance jusqu'au Stop Loss

Détails du trade:

  • Entry 0.1659
  • Stop Loss: 0.1667
  • Take Profit: 0.1644

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1667 - 0.1659 = 0.0008

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1659 - 0.1644 = 0.0015

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0015 / 0.0008 = 1.875

📌 Position Size

Amount Margin Quantity Leverage
1716.3228 100 10345.5264 17.16
Details

1. Déterminer le montant risqué sur ce trade

Risk Amount = Capital x Risk per trade

Paramètres:

  • Account Size 100
  • Risk per trade 8 %

Risk Amount = 100 x 0.08 = 8

Donc, tu es prêt à perdre 8$ maximum sur ce trade

2. Calcul Risk per Share / Nombre d'unité à acheter

Taille de position = Risk Amount / Distance Stop Loss

Taille de position USD = Taille de position x Entry Price

Paramètres:

  • Risk Amount 8
  • Distance Stop Loss 0.0008

Taille de position = 8 / 0.0008 = 10000

Taille de position USD = 10000 x 0.1659 = 1659

Donc, tu peux acheter 10000 avec un stoploss a 0.1667

Avec un position size USD de 1659$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 10000 x 0.0008 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 10000 x 0.0015 = 15

Si Take Profit atteint, tu gagneras 15$

Résumé

  • Taille de position 10000
  • Taille de position USD 1659
  • Perte potentielle 8
  • Gain potentiel 15
  • Risk-Reward Ratio 1.875

📌 Peformances

TP % Target TP $ Target
0.9 % 15.52 $
SL % Target SL $ Target
0.48 % 8.28 $
PNL PNL %
-8.28 $ -0.48
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4822 % 100 % 6

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1644
            [entry_price] => 0.1659
            [stop_loss] => 0.16678
            [rr_ratio] => 1.7
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-21 15:15:00
            [result] => win
        )

    [1.2] => Array
        (
            [take_profit] => 0.1644
            [entry_price] => 0.1659
            [stop_loss] => 0.16686
            [rr_ratio] => 1.56
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-21 15:15:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 0.1644
            [entry_price] => 0.1659
            [stop_loss] => 0.16694
            [rr_ratio] => 1.44
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-21 15:15:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.1644
            [entry_price] => 0.1659
            [stop_loss] => 0.1671
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-21 15:15:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0015
            [max_drawdown] => 0.0008
            [rr_ratio] => 1.88
            [high] => 0.16670000
            [low] => 0.16440000
            [mfe_pct] => 0.9
            [mae_pct] => 0.48
            [mfe_mae_ratio] => 1.88
            [candles_analyzed] => 24
            [start_at] => 2025-09-21T14:19:00-04:00
            [end_at] => 2025-09-21T16:19:00-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0078
            [max_drawdown] => 0.0008
            [rr_ratio] => 9.75
            [high] => 0.16670000
            [low] => 0.15810000
            [mfe_pct] => 4.7
            [mae_pct] => 0.48
            [mfe_mae_ratio] => 9.75
            [candles_analyzed] => 84
            [start_at] => 2025-09-21T14:19:00-04:00
            [end_at] => 2025-09-21T21:19:00-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.16660000
            [high_after] => 0.16670000
            [low_before] => 0.16310000
            [low_after] => 0.16350000
            [is_new_high] => 
            [is_new_low] => 
        )

)